Alternatives and similar repositories for svd_gcn:

Users that are interested in svd_gcn are comparing it to the libraries listed below

• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated 11 months ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated last year
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆57Updated 10 months ago
• weiwei1206 / CML
  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
  ☆47Updated 3 months ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆17Updated last year
• yimutianyang / SIGIR23-VGCL
  Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"
  ☆25Updated 5 months ago
• drhuangliwei / PTGCN
  A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
  ☆29Updated last year
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆32Updated last year
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆58Updated last year
• HKUDS / GraphPro
  [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
  ☆58Updated 7 months ago
• HKUDS / AdaGCL
  [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
  ☆59Updated 10 months ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated 2 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆67Updated 2 years ago
• DyGRec / TGSRec
  ☆54Updated 2 years ago
• yimutianyang / SIGIR2021-EGLN
  The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"
  ☆17Updated 3 years ago
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆33Updated last year
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆19Updated last year
• HKUDS / GraphAug
  [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
  ☆21Updated 4 months ago
• HKUDS / DSL
  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
  ☆26Updated 5 months ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆96Updated last year
• yuwvandy / CAGCN
  This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
  ☆54Updated last year
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆16Updated last year
• Applied-Machine-Learning-Lab / LinRec
  ☆17Updated 5 months ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆37Updated 2 years ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆20Updated last year
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆50Updated 3 years ago
• MingshiYan / CRGCN
  Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
  ☆11Updated last year
• yuh-yang / MBHT-KDD22
  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
  ☆62Updated last year
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆54Updated 2 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆28Updated 5 months ago